Using double convolution neural network for lung cancer stage detection

G Jakimovski, D Davcev - Applied Sciences, 2019 - mdpi.com
Recently, deep learning is used with convolutional Neural Networks for image classification
and figure recognition. In our research, we used Computed Tomography (CT) scans to train …

Модел на безбеден мултимедиски медицински информационен систем базиран на мобилен облак

Г Јакимовски - 2019 - repository.ukim.mk
Од неодамна, длабоко учење се користи заедно со конволуциски невронски мрежи за
класификација на слики и препознавање шаблони. Во оваа докторска дисертација е …

A Multiple Moving Object Segmentation Algorithm Based on Background Modeling and Adaptive Clustering

Z Hu, Q Tan, K Zhang, X Wang - International Journal of Signal …, 2015 - earticle.net
A multiple moving object segmentation algorithm based on Background Modeling and
Adaptive Clustering (named as BMAC) algorithm is proposed in this paper. For moving …

An automatic detection and segmentation algorithm of video multiple moving targets for computer vision

K Zhang, C Wang, S Li - Proceedings of the 7th International Conference …, 2015 - dl.acm.org
In this paper an automatic detection and segmentation algorithm of video multiple moving
targets is proposed for the problem of computer vision in intelligent monitoring system. The …

Performance analysis of histogram-threshold method for cancer detection

G Koç, YD Gökdel, B Sarioğlu - 2014 18th National Biomedical …, 2014 - ieeexplore.ieee.org
In this paper, histogram-threshold method developed for cancer detection using miniaturized
confocal microscopy system and its related performance analysis are presented. While …

Image construction and cancer tissue detection algorithms for portable confocal microscopy system

G Koç - 2014 - acikbilim.yok.gov.tr
This thesis focuses on three main issues; namely,(i) image acquisition of cancer tissue,(ii)
image stitching and (iii) image processing for cancer detection. An algorithm and a related …